Learn Jupyter Notebooks for Beginners

Course Feature

Cost

Free
Provider

Udemy
Certificate

No Information
Language

English
Start Date

2023-05-09
Learners

No Information
Duration

No Information
Instructor

Fahad Masood Reda

Add to Favorites

4.8

553 Ratings

This course provides a comprehensive introduction to the powerful Jupyter Notebook environment. It is designed to equip learners with the necessary knowledge and skills to effectively leverage Jupyter Notebook for data analysis, visualization, and interactive computing. Learners will learn how to create, edit, and organize Jupyter Notebook documents, execute and document code, use Replit, Google Colab, and Anaconda Distribution, and the basics of Markdown. By the end of this course, learners will have a solid foundation in Jupyter Notebook, enabling them to explore, analyze, visualize data, create interactive presentations, and collaborate effectively with others. Click now to learn Jupyter Notebooks for Beginners!

Show All

Go to class

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides a comprehensive introduction to the powerful Jupyter Notebook environment for new learners. It equips them with the necessary knowledge and skills to effectively leverage Jupyter Notebook for data analysis, visualization, and interactive computing. Learners will learn how to create, edit, and organize Jupyter Notebook documents, as well as how to execute and document code, which will help them in manipulating data and presenting their findings. Additionally, they will learn how to use Replit, Google Colab, and Anaconda Distribution, as well as the basics of Markdown and how to use it in Jupyter Notebooks. Upon completion of this course, learners will have a solid foundation in Jupyter Notebook, enabling them to efficiently explore, analyze, and visualize data, create interactive presentations, and collaborate effectively with others.

Course Syllabus

Introduction

Getting Ready for the Course

Jupyter Notebook Crash Course

BONUS SECTION

Show All

Recommended Courses

Jupyter Notebook overview for all Python developers

4.6

Udemy 2,737 learners

Learn More

This course is perfect for all Python developers who want to learn more about Jupyter Notebook. It covers the basics of Anaconda and Jupyter Notebook, as well as more advanced topics such as Menu tabs, Cell types, Modes, Shortcuts, and Magic Commands. Learners will also learn how to publish their Jupyter Notebook files on a website or blog and how to share them with other team members. Whether you are a beginner or an experienced developer, this course will provide you with a comprehensive overview of Jupyter Notebook. Don't miss out on this great opportunity to expand your knowledge!

Jupyter Notebook for Data Science

4.6

Udemy 1,967 learners

Learn More

This course is perfect for those looking to become familiar with Jupyter Notebook and its features to perform data science tasks in Python. Led by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev, learners will start from basic data analysis tasks and work their way up to learn common scientific Python tools. Through the course, learners will work with real datasets, such as crime and traffic accidents in New York City, to explore data scraping and cleaning. By the end, learners will be able to create insightful visualizations and interactive reports to extract useful information from datasets. Don't miss out on this opportunity to learn the fundamentals of data science with Jupyter Notebook!

Jupyter Notebook for Beginners

4.6

Udemy 1,258 learners

Learn More

This course is perfect for absolute beginners who want to learn about Jupyter Notebook, a powerful tool used by machine learning engineers, data scientists, mathematicians, and Python and R developers. Learners will gain an understanding of the advantages of using Jupyter Notebook, such as its ability to support more than 40 programming languages, its similarity to a physical notebook, and its ability to share and distribute notebooks. Additionally, learners will gain the skills necessary to use Jupyter Notebook in their own projects. With this course, you will be able to take advantage of the powerful features of Jupyter Notebook and use it to create amazing projects.

Wrangling Major League Baseball Pitchf&x Data with Python

4.3

Udemy 3,097 learners

Learn More

This course is perfect for coders, SaberMetricians, and baseball fans who want to gain insight into the MoneyBall phenomenon and the next wave of player development. Through the use of Python, learners will be able to wrangle MLB PitchF/x data from Clayton Kershaw's 2014 no-hitter and graph the pitches with MatPlotLib and PyPlot. Along the way, learners will also learn best practices for Jupyter Notebook, Python coding, XML parsing, and more. This course provides new learners with an introduction to SaberMetrics, the empirical study of baseball statistics. Don't miss out on this opportunity to explore the world of SaberMetrics and MoneyBall!